CN205827391U - Recognition of face teaching equipment based on sparse matrix - Google Patents
Recognition of face teaching equipment based on sparse matrix Download PDFInfo
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- CN205827391U CN205827391U CN201620504637.9U CN201620504637U CN205827391U CN 205827391 U CN205827391 U CN 205827391U CN 201620504637 U CN201620504637 U CN 201620504637U CN 205827391 U CN205827391 U CN 205827391U
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- sparse matrix
- recognition
- face
- main frame
- substrate
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Abstract
The utility model discloses a kind of recognition of face teaching equipment based on sparse matrix, it includes substrate, reflecting plate, position measurement bar, lighting mechanism, photograph taking mechanism, projector mechanism and sparse matrix analyze main frame, described reflecting plate is fixed on the surface of described substrate, institute's position measurement bar is fixing with described substrate to be connected, described lighting mechanism is arranged on institute's position measurement bar, described photograph taking mechanism is arranged on the surface of described substrate, described projector mechanism is arranged on described sparse matrix and analyzes the top of main frame, described sparse matrix is analyzed main frame and is electrically connected with institute position measurement bar, described sparse matrix is analyzed main frame and is electrically connected with described photograph taking mechanism, described projector mechanism is projected in the surface of described substrate.This utility model enables to the on the spot in person process experiencing recognition of face of user and principle, the more deep understanding of the knowledge of recognition of face and memory can be have submitted the effect of recognition of face teaching.
Description
Technical field
This utility model relates to a kind of teaching equipment, sets particularly to a kind of recognition of face based on sparse matrix teaching
Standby, belong to teaching equipment.
Background technology
Recognition of face, is facial feature information based on people a kind of biological identification technology of carrying out identification.With shooting
Machine or camera collection contain image or the video flowing of face, and detect and track face the most in the picture, and then to detection
To face carry out a series of correlation techniques of face, be generally also called Identification of Images, facial recognition.
Existing face recognition device contributes to actual application product, and whole parts and structure are all encapsulated in
In one body, in use, user can only knowledge of result, and do not have it will be appreciated that how the process of recognition of face is
Sample, and this process needs to be carried out by other approach such as textbook, but owing to word and the picture of textbook are all quiet
State, it is impossible to well show process and the principle of recognition of face.
Utility model content
The purpose of this utility model is to overcome above-mentioned deficiency present in prior art, and provides a kind of structure design to close
Reason, it is possible to flexible, the recognition of face teaching equipment based on sparse matrix of Dynamic Display face recognition process.
The technical scheme in the invention for solving the above technical problem is: should recognition of face based on sparse matrix teaching
Equipment includes substrate, reflecting plate, position measurement bar, lighting mechanism, photograph taking mechanism, projector mechanism and sparse matrix analysis master
Machine, described reflecting plate is fixed on the surface of described substrate, and institute's position measurement bar is fixing with described substrate to be connected, described flare-aircraft
Structure is arranged on institute's position measurement bar, and described photograph taking mechanism is arranged on the surface of described substrate, and described projector mechanism is pacified
Being contained in described sparse matrix and analyze the top of main frame, described sparse matrix is analyzed main frame and is electrically connected with institute position measurement bar, institute
Stating sparse matrix analysis main frame to electrically connect with described photograph taking mechanism, described projector mechanism is projected in the surface of described substrate.
By arranging reflecting plate and position measurement bar at substrate surface, it is possible to realize user to oneself and the distance of substrate and should be away from
From perceiving that lower formed image can will be apparent from.Face knowledge can be carried out to substrate by accurate projection again by projector mechanism
Various parameters or the information of other auxiliary parameter in other calculating process, it is possible to enable a user to comprehensive dynamic knowledge face
The process identified.
As preferably, position measurement bar described in the utility model is provided with three induction apparatuss.
As preferably, sparse matrix described in the utility model analyzes main frame by supply module, picture storage module, face number
According to library module and analysis module composition.
As preferably, projector mechanism described in the utility model is in the view field of described substrate and described photograph taking mechanism
On same vertical curve.
As preferably, the side of reflecting plate described in the utility model is provided with fastener, and the surface configuration of described substrate has post
Shape part, described fastener cooperates with described cylindrical member.
This utility model compared with prior art, has the following advantages and effect: enable to user on the spot in person
Experience process and the principle of recognition of face, the more deep understanding of the knowledge of recognition of face and memory can be have submitted face
Identify the effect of teaching.
Accompanying drawing explanation
Fig. 1 is the structural representation of the recognition of face teaching equipment based on sparse matrix of this utility model embodiment.
Label declaration: substrate 101, reflecting plate 102, position measurement bar 103, lighting mechanism 104, photograph taking mechanism 105,
Projector mechanism 106, sparse matrix analyzes main frame 107.
Detailed description of the invention
The utility model is described in further detail below in conjunction with the accompanying drawings and by embodiment, and following example are right
Explanation of the present utility model and this utility model is not limited to following example.
Seeing Fig. 1, the recognition of face teaching equipment based on sparse matrix in the present embodiment includes substrate 101, reflecting plate
102, position measurement bar 103, lighting mechanism 104, photograph taking mechanism 105, projector mechanism 106 and sparse matrix analyze main frame
107。
In the present embodiment, substrate 101 is as a carrier, it is possible to install various parts.Reflecting plate in the present embodiment
102 is mirror.Reflecting plate 102 is to see in order to the facial information of user is reflected to user, lets the user know that now
The facial information of oneself.
In the present embodiment, position measurement bar 103 has two ends, and wherein one end is fixing on the substrate 101, position measurement bar 103
Being hollow, wire is walked in the inside.Position measurement bar 103 is arranged on the hemiepilepsy position of substrate 101, and centre position is user
The position stood.Position measurement bar 103 can measure the position of user and reflecting plate 102, information is passed after recording information
Pass sparse matrix and analyze main frame 107, such that it is able to the information after this information or processing is carried out by projector mechanism 106
Show.Enable a user to learn these information.And these information are user is walked about when, it it is all dynamically change.
In the present embodiment, position measurement bar 103 is provided with three induction apparatuss.Induction apparatus includes generating laser, laser pickoff, work
When laser transmitter projects laser, then laser pickoff accepts laser.User does not swashs if this induction apparatus side
Optical receiver is the laser not receiving reflection, if user is on induction apparatus side, then laser pickoff will receive
The laser signal reflected to user, thus know the user side at induction apparatus.
In the present embodiment, lighting mechanism 104 is fixed on position measurement bar 103 by connecting rod, and connecting rod is surveyed with position
On gauge rod 103 orthogonal, it is possible to convenient installation and use, and be more prone to regulate lighting mechanism 104 position.
Lighting mechanism 104 can rotate, in use can towards user increase light intensity so that the photo photographed more
It is clear to add, it is also possible to towards substrate 101, the reflection light of isomorphism substrate 101 is to user and carries out light filling.
In the present embodiment, photograph taking mechanism 105 is arranged on the surface of substrate 101, towards user, photograph taking mechanism
105 can be digital camera, and photograph taking mechanism 105 includes the second connecting rod, rotational structure and digital camera, the second connecting rod
Being fixed on the surface of substrate 101, then the second connecting rod and rotational structure are rotationally connected, and rotational structure and digital camera rotate even
Connect so that digital camera can be by dual regulation direction, and both the second connecting rod and rotational structure were rotationally connected and can regulate direction,
Regulation direction can also be rotationally connected with rotational structure and digital camera.
In the present embodiment, projector mechanism 106 is arranged on sparse matrix and analyzes the top of main frame 107, is sparse matrix analysis
The physical top of main frame 107.Projector mechanism 106 is analyzed main frame 107 with sparse matrix and is electrically connected.In the present embodiment, projector mechanism
106 is projector.Parameter in face recognition process and average information, towards substrate 101, are displayed by projector mechanism 106,
To facilitate user to know this process.
In the present embodiment, it is to receive the photo that photograph taking mechanism 105 photographs, then that sparse matrix analyzes main frame 107
By sparse matrix, these photos are analyzed method be analyzed and identify the computer of face.In the present embodiment, sparse matrix
Analyze main frame 107 to be made up of supply module, picture storage module, human face data library module and analysis module.Supply module is control
The module of power supply processed, picture storage module stores the photo of photograph taking mechanism 105 shooting, then by these photos by analyzing
Module is analyzed, then contrasts with the data in human face data library module, to identify whom user is.
In the present embodiment, reflecting plate 102 is fixed on the surface of substrate 101, and position measurement bar 103 is fixing with substrate 101 even
Connecing, lighting mechanism 104 is arranged on position measurement bar 103, and photograph taking mechanism 105 is arranged on the surface of substrate 101, scialyscope
Structure 106 is arranged on sparse matrix and analyzes the top of main frame 107, and sparse matrix is analyzed main frame 107 and is electrically connected with position measurement bar 103
Connecing, sparse matrix is analyzed main frame 107 and is electrically connected with photograph taking mechanism 105, and projector mechanism 106 is projected in the surface of substrate 101.
By at substrate 101 surface configuration reflecting plate 102 and position measurement bar 103, it is possible to realize user to oneself and substrate 101
Distance and this is apart from perceiving that lower formed image can will be apparent from.Again can accurate projection by projector mechanism 106
Various parameters or the information of other auxiliary parameter in recognition of face calculating process is carried out, it is possible to make user to substrate 101
Can the process of dynamic knowledge recognition of face comprehensively.
In the present embodiment, projector mechanism 106 the view field of substrate 101 and photograph taking mechanism 105 same vertically
On line.Enable to user while seeing view field's information, it is possible to front is in the face of photograph taking mechanism 105, thus carries
The quality of high shooting photo.
In the present embodiment, the side of reflecting plate 102 is provided with fastener, and the surface configuration of substrate 101 has a cylindrical member, fastener with
Cylindrical member cooperates.In the present embodiment, fastener is rectangular structure, and the quantity of fastener is six, two sides of reflecting plate 102
In face, there are three fasteners each side, and cylindrical member is the most also six, the most corresponding with fastener respectively.The when of use, will
Fastener and cylindrical member interphase distribution, fastener carry is in cylindrical member, and such benefit is can to put just to install, and can regulate
The height of reflecting plate 102.
In the present embodiment, the use process of recognition of face teaching equipment based on sparse matrix is as follows, and user connects exactly
Receive education student, user first position measurement bar 103 moves towards substrate 101 from remote and near, whenever through induction apparatus time
Waiting, sparse matrix is analyzed main frame 107 and just be can know that the position of user, then sends these information to projector mechanism 106, throws
Shadow mechanism 106 projects.And user also now is able to be observed the face state of oneself by reflecting plate 102.Cause
It is closely similar for the face state of reflecting plate 102 reflection and the face state of photograph taking mechanism 105 shooting.Whenever use
Person is through an induction apparatus when, and sparse matrix is analyzed main frame 107 and will order photograph taking mechanism 105 be shot, so
Analyze main frame 107 by sparse matrix afterwards the photo of shooting is analyzed, be then identified result, sparse matrix analysis master
Machine 107 can send the analysis process of sparse matrix to projector mechanism 106, is then projected by projector mechanism 106.Use
How person is appearance with regard to the process knowing recognition of face of dynamic.
Above content described in this specification is only to this utility model example explanation.This utility model
Described specific embodiment can be made various amendment or supplements or use class by person of ordinary skill in the field
As mode substitute, without departing from the content of this utility model description or surmount model defined in the claims
Enclose, protection domain of the present utility model all should be belonged to.
Claims (5)
1. a recognition of face teaching equipment based on sparse matrix, it is characterised in that: include substrate, reflecting plate, position measurement
Bar, lighting mechanism, photograph taking mechanism, projector mechanism and sparse matrix analyze main frame, and described reflecting plate is fixed on described substrate
Surface, institute's position measurement bar and described substrate are fixing to be connected, and described lighting mechanism is arranged on institute's position measurement bar, institute
Stating photograph taking mechanism and be arranged on the surface of described substrate, described projector mechanism is arranged on described sparse matrix and analyzes the top of main frame
Portion, described sparse matrix analyzes main frame and electrically connect with institute position measurement bar, described sparse matrix analysis main frame and described photo
Photographic unit electrically connects, and described projector mechanism is projected in the surface of described substrate.
Recognition of face teaching equipment based on sparse matrix the most according to claim 1, it is characterised in that: described position is surveyed
Gauge rod is provided with three induction apparatuss.
Recognition of face teaching equipment based on sparse matrix the most according to claim 1, it is characterised in that: described sparse square
Battle array analysis main frame is made up of supply module, picture storage module, human face data library module and analysis module.
Recognition of face teaching equipment based on sparse matrix the most according to claim 1, it is characterised in that: described scialyscope
Structure in the view field of described substrate and described photograph taking mechanism on same vertical curve.
Recognition of face teaching equipment based on sparse matrix the most according to claim 1, it is characterised in that: described reflecting plate
Side be provided with fastener, the surface configuration of described substrate has cylindrical member, described fastener to cooperate with described cylindrical member.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620504637.9U CN205827391U (en) | 2016-05-30 | 2016-05-30 | Recognition of face teaching equipment based on sparse matrix |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620504637.9U CN205827391U (en) | 2016-05-30 | 2016-05-30 | Recognition of face teaching equipment based on sparse matrix |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205827391U true CN205827391U (en) | 2016-12-21 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620504637.9U Expired - Fee Related CN205827391U (en) | 2016-05-30 | 2016-05-30 | Recognition of face teaching equipment based on sparse matrix |
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| Country | Link |
|---|---|
| CN (1) | CN205827391U (en) |
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2016
- 2016-05-30 CN CN201620504637.9U patent/CN205827391U/en not_active Expired - Fee Related
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20161221 Termination date: 20180530 |